Junior Data Scientist (Python + Sql)

Our client is seeking a Data Scientist to support multiple product squads in redesigning operational workflows and developing AI-enabled solutions. The role focuses on analysing large operational datasets, identifying anomalies and risk patterns, and building machine-learning models to improve decision-making and operational efficiency. Responsibilities • Analyse large operational datasets to identify patterns, anomalies, outliers and potential risk indicators. • Develop machine-learning models for anomaly detection, clustering, classification, segmentation and risk scoring. • Perform feature engineering using structured and unstructured data, and evaluate model performance using appropriate metrics. • Build and maintain scalable data pipelines and deploy production-ready models integrated with applications. • Monitor model performance, data quality and data drift after deployment. • Collaborate with engineers, product teams and domain experts to translate operational challenges into practical analytical solutions. • Apply LLMs and other AI techniques alongside traditional machine-learning approaches where appropriate. • Develop reusable analytical solutions and components for application across multiple projects. Requirements • At least 2 years of relevant experience in data science or related field • Degree in Data Science, Computer Science, Statistics, Machine Learning, Data Analytics, Information Systems or a related field. • Strong proficiency in Python and SQL, with experience analysing large, complex operational or transactional datasets. • Hands-on experience in applied data science, including statistical analysis, feature engineering, machine learning and model evaluation. • Experience with anomaly detection, classification, clustering, risk modelling or similar techniques. • Experience building data pipelines and deploying models into production environments. • Familiarity with software engineering practices, including Git, automated testing and APIs